Over the past months, we have made significant progress toward this vision. We have demonstrated that a single model, trained with the same data paradigm, can achieve strong performance on humanoid robots and transfer across other robotic platforms such as dual-arm robots. This gives us confidence that robot intelligence can become more scalable, more data-efficient, and more generalizable across embodiments.
With this new funding, we will continue scaling our robot data engine, expanding our model capabilities, and accelerating deployment in complex real-world environments. Our next focus is to bring this intelligence into industries where robots can create meaningful productivity and social value, including healthcare, construction, warehousing, and manufacturing.
Robotics hardware is improving rapidly. But we believe the next bottleneck is intelligence: how robots understand the world, adapt to new tasks, and operate reliably in diverse environments. At MindOn, we are building a unified robotic brain that starts from humanoid robots and extends to other robot forms, enabling robots to learn faster, generalize better, and eventually assist people across many real-world settings.
This funding allows us to keep pushing forward — scaling data, strengthening our models, growing our research and engineering teams, and bringing general-purpose robotic intelligence closer to reality.
We are grateful to our investors, partners, team members, and supporters who share our belief in the future of robotics.
The future of robots will not be defined by one body. It will be defined by the intelligence that can power many of them.